Jobs – SeeMe.ai Docs

Jobs

Get all jobs

jobs = client.get_jobs(
    application_id="", 
    states=[JobStatus.WAITING, 
            JobStatus.STARTED,
            JobStatus.FINISHED,
            JobStatus.ERROR
    ],
    job_types=[JobType.TRAINING]
)

Parameter	Type	Description
application_id	str	Only return jobs for this application id
states	List[JobStatus]	Only return jobs for the listed job states
job_types	List[JobType]	Only return jobs for the listed job types

Create a job

Create a training job:

my_job = Job(
    name= "Train a new model for cats and dogs",
    description= "",
    job_type= JobType.TRAINING,
    application_id= "acf26cf4-e19f-425e-b5cb-031830a46df4", # See Applications to get the correct application_id for your job
    dataset_id= "8037b73a-5512-4a45-89e2-29761771fff6", # Update to your dataset_id
    dataset_version_id= "1d3bf8d6-e39b-498e-9c08-680d2f8a3c47", # Update to your dataset_version_id
    items= [
        JobItem(
            name= "image_size",
            value= "224",
            value_type= ValueType.NUMBER,
            label= "Image Size"
        ),
        JobItem(
            name= "arch",
            value= "resnet50",
            value_type= ValueType.TEXT,
            label= "Architecture"
        ),
        JobItem(
            name= "batch_size",
            value= "50",
            value_type= ValueType.NUMBER,
            label= "Batch size"
        )
    ]
)

my_job = client.create_job(my_job)

Parameter	Type	Description
job	Job	The entire Job entity

Job properties in detail.

Property	Type	Description
id	str	Unique id for the application
name	str	Name of your job
description	str	Describe the job you are running
job_type	JobType	The type of job: `TRAINING`, `VALIDATION`, `CONVERSION`.
application_id	str	The `application id` of the job. (see applications
status	JobStatus	The status of your job: `WAITING`, `STARTED`, `FINISHED`, `ERROR`.
status_message	str	More information about the `status` of your job; gets updated by the agent handling the job.
user_id	str	The id of the user that requested the job.
cpu_start_time	str	The CPU compute starting time.
cpu_end_time	str	The CPU compute end time.
gpu_start_time	str	The GPU compute starting time.
gpu_end_time	str	The GPU compute end time.
agent_name	str	The agent responsible for handling the job.
dataset_id	str	The id of the dataset being used.
dataset_version_id	str	The id of the dataset version being used.
model_id	str	The id of the model the finished job will be added to. If left blank upon job creation, a new model will be created, and its id will be updated in this property.
model_version_id	str	The id of the model version the job resulted in. Leave blank upon job creation. The property will/should be updated after uploading the model.
start_model_id	str	The model id used to continue training from. (requires `continual_training` support in the specified application_id)
start_model_version_id	str	The model version id used to continue training from. (requires `continual_training` support in the specified application_id)
created_at	str	The creation date
updated_at	str	Last updated date
items	List[JobItem]	A list of job specific steps and settings.

JobItem in more detail:

Property	Type	Description
id	str	Unique id for the job item
name	str	Name of your job
description	str	Describe the job you are running
job_id	str	The job id it belongs to
value	str	The item value
default_value	str	The item default value
value_type	ValueType	The type of the item value: `INT`, `FLOAT`, `TEXT`, `MULTI`, `BOOL`, `STRING_ARRAY`
label	str	The label for the item
created_at	str	The creation date
updated_at	str	Last updated date

Parameter	Type	Description
job	Job	The full job object

Supported job items per applications

Every job can be configured depending on the AI application you are using. Below we list all the possibilties per AI application:

Get a job

my_job = client.get_job(my_job.id)

Parameter	Type	Description
job_id	str	The job id

Update a job

my_job.description = "Update any property"

my_job = client.update_job(my_job)

Parameter	Type	Description
job	Job	The entire job object

Delete a job

client.delete_job(my_job.id)

Parameter	Type	Description
job_id	str	The job id

Models Predictions